Carbon Stock Prediction in Managed Forest Ecosystems Using Bayesian and Frequentist Geostatistical Techniques and New Generation Remote Sensing Metrics

The study compares the performance of a hierarchical Bayesian geostatistical methodology with a frequentist geostatistical approach, specifically, Kriging with External Drift (KED), for predicting C stock using prediction aides from the Landsat-8 and Sentinel-2 multispectral remote sensing platforms...

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Autores principales:	Tsikai Solomon Chinembiri, Onisimo Mutanga, Timothy Dube
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2023-03-01
Colección:	Remote Sensing
Materias:	Bayesian methodology classical geostatistics multispectral remote sensing carbon stock plantation forest managed ecosystem
Acceso en línea:	https://www.mdpi.com/2072-4292/15/6/1649
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